{"id":"W4415055466","doi":"10.15485/2477409","title":"Global Carbon Budget 1800-2018 Loss of Additional Sink Capacity and Present Transient Difference","year":2024,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Carbon sink; Sink (geography); Ecosystem; Carbon cycle; Land use, land-use change and forestry; Land cover; Carbon flux; Global change; Carbon sequestration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993386,0.001763059,0.001156237,0.00237906,0.0004842849,0.001975478,0.001039123,0.00129781,0.0172352],"category_scores_gemma":[0.001912673,0.0005441326,0.0008710258,0.004514258,0.0003685373,0.002507552,0.001104638,0.00153596,0.01385129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722288,"about_ca_system_score_gemma":0.002527274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0652803,"about_ca_topic_score_gemma":0.03410602,"domain_scores_codex":[0.9995723,0.00003697595,0.00003111417,0.0001343689,0.0001725232,0.00005271707],"domain_scores_gemma":[0.9990953,0.00004470011,0.00007750256,0.0001418839,0.0005476968,0.00009283081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003660592,0.0001046226,0.01849944,0.001690246,0.0005502651,0.0001572735,0.00006849416,0.01894111,0.003279864,0.006898768,0.8527133,0.09673059],"study_design_scores_gemma":[0.0002976879,0.00004309806,0.02602291,0.0003486473,0.0001198892,0.00009531459,0.00004690266,0.009850273,0.001598735,0.005035854,0.9564788,0.00006184189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006283335,0.001576122,0.001995162,0.0009632279,0.0008752655,0.00006391965,0.9749653,0.001761028,0.01151677],"genre_scores_gemma":[0.02881405,0.001707668,0.00411598,0.0003241621,0.0002954537,0.0003254712,0.9599082,0.0009613129,0.003547806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0652803,"threshold_uncertainty_score":0.1298007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407160833582857,"score_gpt":0.2326122349240866,"score_spread":0.198540626588258,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}